Practice Lead DevOps

Maruti True Value

12 - 17 years

20 - 25 Lacs

gurugram

Posted:-1 days ago| Platform:

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Skills Required

computer science automation change management team management data management iso 27001 machine learning data quality stakeholder management monitoring

Work Mode

Work from Office

Job Type

Full Time

Job Description

Strategic Leadership:
Define and execute the strategic vision for DevSecOps, DataOps, and AI-MLOps practices, aligning them with business goals and industry best practices.
Team Management:
Lead, mentor, and grow a team of engineers, architects, and specialists. Foster a collaborative and innovative environment.
Practice Development:
Establish and refine processes, standards, and tools for secure software development, data goverce, and AI/ML model deployment.
Security Integration:
Champion a security-first culture by embedding security practices throughout the software development lifecycle.
Data Goverce:
Ensure data quality, integrity, and compliance with regulatory requirements.
Automation & Optimization:
Drive automation initiatives to streamline processes, reduce costs, and improve efficiency.
Stakeholder Collaboration:
Collaborate with cross-functional teams, including IT, engineering, data science, and business stakeholders, to ensure alignment and effective communication.
Innovation & Research:
Stay abreast of emerging technologies and trends, and evaluate their potential to enhance our DevSecOps, DataOps, and AI-MLOps capabilities.

Skills and Expertise:

Technical Proficiencies:
DevSecOps:
CI/CD pipelines, Infrastructure as Code (Terraform, Ansible), containerization (Docker, Kubernetes), security scanning tools (SAST, DAST), cloud platforms (AWS, Azure, GCP)
DataOps:
Data integration and ETL tools (e.g., Apache Spark, Kafka), data warehousing solutions, data quality and goverce frameworks
AI-MLOps:
Machine learning platforms (e.g., TensorFlow, PyTorch, scikit-learn), model deployment frameworks (e.g., MLflow, Kubeflow), model monitoring and management
Methodologies:
Agile, Scrum, Kanban
ITIL
Security and Compliance:
Security frameworks (e.g., NIST, ISO 27001)
Data privacy regulations (e.g., GDPR, CCPA)
Compliance standards relevant to manufacturing (e.g., FDA)
Soft Skills:
Exceptional leadership and communication skills
Strategic thinking and problem-solving
Change management and stakeholder management
Mentoring and coaching

Experience:

12+ years of experience in IT, with a focus on DevOps, Security, Data Management, or AI/ML Operations.
5+ years of experience in a leadership role managing DevSecOps, DataOps, or AI-MLOps teams.
Demonstrated success in implementing and scaling DevSecOps, DataOps, or AI-MLOps practices in a complex enterprise environment.
Experience working in the manufacturing industry is highly preferred.
Proven ability to drive cultural change and foster a collaborative, data-driven environment.

Education:

Bachelors degree in Computer Science, Engineering, or a related field.
Masters degree is preferred.
Relevant certifications (e.g., AWS Certified DevOps Engineer, Certified Information Systems Security Professional (CISSP), Certified Data Management Professional (CDMP)).

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